Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

ScatterNdMin

public final class ScatterNdMin

Computes element-wise minimum.

Nested Classes

class ScatterNdMin.Options Optional attributes for ScatterNdMin

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of a tensor.
static <T, U extends Number> ScatterNdMin <T>
create ( Scope scope, Operand <T> ref, Operand <U> indices, Operand <T> updates, Options... options)
Factory method to create a class wrapping a new ScatterNdMin operation.
Output <T>
outputRef ()
Same as ref.
static ScatterNdMin.Options
useLocking (Boolean useLocking)

Inherited Methods

Public Methods

public Output <T> asOutput ()

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static ScatterNdMin <T> create ( Scope scope, Operand <T> ref, Operand <U> indices, Operand <T> updates, Options... options)

Factory method to create a class wrapping a new ScatterNdMin operation.

Parameters
scope current scope
ref A mutable Tensor. Should be from a Variable node.
indices A Tensor. Must be one of the following types: int32, int64. A tensor of indices into ref.
updates A Tensor. Must have the same type as ref. A tensor of updated values to add to ref.
options carries optional attributes values
Returns
  • a new instance of ScatterNdMin

public Output <T> outputRef ()

Same as ref. Returned as a convenience for operations that want to use the updated values after the update is done.

public static ScatterNdMin.Options useLocking (Boolean useLocking)

Parameters
useLocking An optional bool. Defaults to True. If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.